iPhone 13
Geekbench AI Score
1719
Single Precision Score
3064
Half Precision Score
2467
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 04:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
620
115.2 IPS |
|
|
Image Classification (HP)
|
100% |
1204
223.9 IPS |
|
|
Image Classification (Q)
|
96% |
832
155.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
762
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1280
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3138
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
7473
8.72 IPS |
|
|
Pose Estimation (Q)
|
95% |
6377
7.47 IPS |
|
|
Object Detection (SP)
|
100% |
680
53.9 IPS |
|
|
Object Detection (HP)
|
97% |
1369
109.0 IPS |
|
|
Object Detection (Q)
|
94% |
976
77.8 IPS |
|
|
Face Detection (SP)
|
100% |
1713
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
2926
34.8 IPS |
|
|
Face Detection (Q)
|
100% |
1699
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2622
20.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5279
40.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
3702
28.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8775
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14049
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
11595
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1967
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2591
95.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1845
68.1 IPS |
|
|
Text Classification (SP)
|
100% |
1378
1.84 KIPS |
|
|
Text Classification (HP)
|
99% |
2383
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
2370
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2101
36.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3947
68.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3965
68.5 IPS |
